Accurate localization in autonomous robots enables effective decision-making within their operating environment. Various methods have been developed to address this challenge, encompassing traditional techniques, fiducial marker utilization, and machine learning approaches. This work proposes a deep-learning …

The number of applications in which industrial robots share their working environment with people is increasing. Robots appropriate for such applications are equipped with safety systems according to ISO/TS 15066:2016 and are often referred to as collaborative robots (cobots). Due to the nature of human-robot …

Machine Learning techonology is used to recognize piano note based on audio. Thesis descibes progress on research of ML techonlogyitself and the way how model can be develoepd and trained. Specificaly one architecture is described, that is CNN. Note recongition is based model trained on Nsynth3 database. …

Industrial robot manipulators are widely used for repetitive applications that require high precision, like pick-and-place. In many cases, the movements of industrial robot manipulators are hard-coded or manually defined, and need to be adjusted if the objects being manipulated change position. To increase …

Masonry structures represent the highest proportion of building stock worldwide. Currently, the structural condition of such structures is predominantly manually inspected which is a laborious, costly and subjective process. With developments in computer vision, there is an opportunity to use digital …

Er zijn tal van humanitaire crises gaande in de wereld. In sommige gevallen gaat het om 'vergeten crises'. Maar wat wordt daar precies mee bedoeld? Dit onderzoek analyseert de term 'vergeten crises' en vraagt zich tegelijkertijd af welke rol de media spelen in het vergeten van crises. Maar het kijkt …

Information can be exchanged in many different ways, the standard format for textual information is a document, which comes in an impossible number of different structures. The Ministry of Internal Affairs and Kingdom Relations concerns an overwhelming number of documents on a daily basis and uses a …

Channel State Information (CSI) analysis for Predictive Maintenance using Convolutiona Neural Network (CNN).

Tijdens het onderzoek is een oplossing gezocht waarmee tekst geclassificeerd kan worden. Dit met het doel informatie uit teksten te halen. Hiervoor is gezocht naar een machine learning oplossing binnen het vakgebied van Natural Language Processing (NLP). Deelvraag 1 Voor de eerste deelvraag is deskresearch …

The News Frontier is a start up that specializes in making newsgames. A newsgame is like a regular game, only the narrative is not fictional like most games. It is based on a real life event. I think it is necessary to realize that only bigger events will make it into a game, because of the time it takes …